Source: Geoinformatics & Geostatistics: An Overview. Unidade: IGC
Subjects: GEOESTATÍSTICA, ESPAÇOS DE INTERPOLAÇÃO, ÁGUAS SUBTERRÂNEAS
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MANZIONE, Rodrigo Lilla et al. Spatio-temporal Kriging to Predict Water Table Depths from Monitoring Data in a Conservation Area at São Paulo State, Brazil. Geoinformatics & Geostatistics: An Overview, v. 7, n. 1, p. 1-10, 2019Tradução . . Disponível em: https://doi.org/10.4172/2327-4581.1000205. Acesso em: 01 out. 2024.APA
Manzione, R. L., Takafuji, E. H. de M., De Iaco, S., Capello, C., & Rocha, M. M. da. (2019). Spatio-temporal Kriging to Predict Water Table Depths from Monitoring Data in a Conservation Area at São Paulo State, Brazil. Geoinformatics & Geostatistics: An Overview, 7( 1), 1-10. doi:10.4172/2327-4581.1000205NLM
Manzione RL, Takafuji EH de M, De Iaco S, Capello C, Rocha MM da. Spatio-temporal Kriging to Predict Water Table Depths from Monitoring Data in a Conservation Area at São Paulo State, Brazil [Internet]. Geoinformatics & Geostatistics: An Overview. 2019 ; 7( 1): 1-10.[citado 2024 out. 01 ] Available from: https://doi.org/10.4172/2327-4581.1000205Vancouver
Manzione RL, Takafuji EH de M, De Iaco S, Capello C, Rocha MM da. Spatio-temporal Kriging to Predict Water Table Depths from Monitoring Data in a Conservation Area at São Paulo State, Brazil [Internet]. Geoinformatics & Geostatistics: An Overview. 2019 ; 7( 1): 1-10.[citado 2024 out. 01 ] Available from: https://doi.org/10.4172/2327-4581.1000205